This study explores using transfer learning in machine learning for natural language processing (NLP) to create generic automated essay scoring (AES) models, providing instant online scoring for statewide writing assessments in K-12 education. The goal is to develop an instant online scorer that is generalizable to any prompt, addressing the…

Large language models (LLMs) offer an opportunity to make large-scale changes to educational content that would otherwise be too costly to implement. The work here highlights how LLMs (in particular GPT-4) can be prompted to revise educational math content ready for large scale deployment in real-world learning environments. We tested the ability…

Background: Poor mathematics performance in South Africa is well known. The COVID-19 pandemic was expected to exacerbate the situation. Aim: To investigate Grade 7 learners' mathematical knowledge at the end of primary school and to compare mathematical performance of Grade 7 and 8 learners in the context of the pandemic. Setting: Data were…

This study examined and compared different written corrective feedback techniques used by English as a second language (ESL) teachers in three different educational contexts and levels (primary, secondary, and college) in Quebec, Canada. In particular, it examined whether there were any differences in the types of errors made, the kind and degree…

This study investigated the differences in error factor scores on the Kaufman Test of Educational Achievement-Third Edition between individuals with mild intellectual disabilities (Mild IDs), those with low achievement scores but average intelligence, and those with low intelligence but without a Mild ID diagnosis. The two control groups were…

In online educational systems we can easily collect and analyze extensive data about student learning. Current practice, however, focuses only on some aspects of these data, particularly on correctness of students answers. When a student answers incorrectly, the submitted wrong answer can give us valuable information. We provide an overview of…

We investigated the effects of systematic changes in levels of treatment integrity by altering errors of commission during error-correction procedures as part of discrete-trial training. We taught 3 students with autism receptive nonsense shapes under 3 treatment integrity conditions (0%, 50%, or 100% errors of commission). Participants exhibited…

The federal government spends about $10 billion each year to provide meals to over 30 million students through the National School Lunch and Breakfast Programs. However, a 2007 study estimated that of this amount, $860 million (8.6 percent) in school year 2005-2006 was paid improperly because of errors in the number of meals counted and claimed…

We present an inference algorithm for perturbation models based on Poisson regression. The algorithm is designed to handle unclassified input with multiple errors described by independent mal-rules. This knowledge representation provides an intelligent tutoring system with local and global information about a student, such as error classification…

Background: English-speaking children with specific language impairment (SLI) perform more poorly than their typically developing peers in verbal working memory tasks where processing and storage are simultaneously required. Hungarian is a language with a relatively free word order and a rich agglutinative morphology. Aims: To examine the effect…

This volume of the 30th annual proceedings of the International Group for the Psychology of Mathematics Education conference presents: plenary panel papers; research forum papers; short oral communication papers; and poster presentation papers from the meeting. Information relating to discussion groups and working sessions is also provided.…